Robert Bamler
Max Planck Institute for Intelligent Systems(DE)University of Tübingen(DE)
Publications by Year
Research Areas
Topic Modeling, Computational Drug Discovery Methods, Generative Adversarial Networks and Image Synthesis, Gaussian Processes and Bayesian Inference, Metabolomics and Mass Spectrometry Studies
Most-Cited Works
- → Giant generic topological Hall resistivity of MnSi under pressure(2013)122 cited
- → Dynamic Word Embeddings(2017)108 cited
- → Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion(2020)99 cited
- → Phase-space Berry phases in chiral magnets: Dzyaloshinskii-Moriya interaction and the charge of skyrmions(2013)91 cited
- → Improving Inference for Neural Image Compression(2020)46 cited
- → Hybridizing physical and data-driven prediction methods for physicochemical properties(2020)35 cited
- → Hydrodynamic Object Recognition: When Multipoles Count(2009)35 cited
- → Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactions(2022)34 cited
- Perturbative Black Box Variational Inference(2017)